What makes Algolia different than Elasticsearch or Solr?
Elasticsearch and Solr work well out-of-the-box for document search, but delivering a fully-featured, user-friendly search requires much additional investment.
Out-of-the-box, Algolia provides prefix matching for as-you-type search, typo-tolerance with smart result highlighting, and a flexible, powerful ranking formula. The ranking formula makes it easy to combine textual relevance with business data like prices and popularity metrics. With Lucene-based search tools like Solr and Elasticsearch, the ranking formula must be designed and built from scratch, which can be difficult to get right for teams without deep search experience.
Algolia’s highly-optimized infrastructure is distributed across the world in 15 regions and 60 datacenters. Algolia provides a 99.99% reliability guarantee and can deliver fast search to users, wherever they’re connecting from in the world. Elasticsearch and Solr don’t automatically distribute to multiple regions, and doing so can incur high server costs and DevOps resources.
For a deeper comparison, check out the Comparing Algolia and Elasticsearch for Consumer-Grade Search blog post series. Part 1 focuses on speed, and part 2 looks at relevance. You may also find this Quora question useful.
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